publication . Article . 2016

A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping

Maus, Victor; Camara, Gilberto; Souza, Ricardo; Sanchez, Alber; Ramos, Fernando;
Open Access
  • Published: 11 Feb 2016
This paper presents a time-weighted version of the dynamic time warping (DTW) method for land-use and land-cover classification using remote sensing image time series. Methods based on DTW have achieved significant results in time-series data mining. The original DTW method works well for shape matching, but is not suited for remote sensing time-series classification. It disregards the temporal range when finding the best alignment between two time series. Since each land-cover class has a specific phenological cycle, a good time-series land-cover classifier needs to balance between shape matching and temporal alignment. To that end, we adjusted the original DTW...
Persistent Identifiers
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: time series analysis, agriculture, remote sensing time series, dynamic time warping
Download from
Article . 2016
Provider: ZENODO
Any information missing or wrong?Report an Issue